client = TestClient(app)


def test_get():
    response = client.post(
        "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"msg": "Invoice received"}


def test_openapi_schema():
    with client:
        response = client.get("/openapi.json")
        assert response.json() == snapshot(
            {

    with pytest.raises(FastAPIError):
        app = FastAPI()

        @app.get("/", responses={"500": {"model": NonPydanticModel}})
        def read_root():
            pass  # pragma: nocover


def test_invalid_response_model_sub_type_in_responses_raises():
    with pytest.raises(FastAPIError):
        app = FastAPI()

        @app.get("/", responses={"500": {"model": list[NonPydanticModel]}})
        def read_root():

 */
package jcifs.internal.dfs;

import java.util.Arrays;

import jcifs.Decodable;
import jcifs.internal.util.SMBUtil;

/**
 * DFS (Distributed File System) referral response buffer parser.
 * Decodes server responses to DFS referral requests, extracting information about
 * available DFS targets, path consumption details, and referral flags.
 *
 * @author mbechler
 */

received followed by a cache hit or miss.  Critically in the cache hit scenario the server won’t send the response body.

The response will have non-null `cacheResponse` and `networkResponse`. The cacheResponse will be used as the top level
response only if the response code is HTTP/1.1 304 Not Modified.

 - CallStart
 - **CacheConditionalHit**
 - ConnectionAcquired
 - ... Standard Events...
 - ResponseBodyEnd _(0 bytes)_

/// tip

You will normally have much better performance using a [Response Model](../tutorial/response-model.md) than returning a `JSONResponse` directly, as that way it serializes the data using Pydantic, in Rust.

///

## Return a `Response` { #return-a-response }

You can return a `Response` or any sub-class of it.

/// info

`JSONResponse` itself is a sub-class of `Response`.

///

        ] = None,
        default_response_class: Annotated[
            type[Response],
            Doc(
                """
                The default response class to be used.

                Read more in the
                [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/#default-response-class).

                **Example**

                ```python

## 追加レスポンス { #additional-responses }

*path operation* に対して `response_model` と `status_code` を宣言する方法はすでに見たことがあるでしょう。

それにより、*path operation* のメインのレスポンスに関するメタデータが定義されます。

追加のレスポンスについても、モデルやステータスコードなどとともに宣言できます。

これについてはドキュメントに章全体があります。 [OpenAPIの追加レスポンス](additional-responses.md) で読めます。

## OpenAPI Extra { #openapi-extra }

```

/// note | Technical Details

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request`.

///

        request.url(), chain.connection(), request.headers()));

    Response response = chain.proceed(request);

    long t2 = System.nanoTime();
    logger.info(String.format("Received response for %s in %.1fms%n%s",
        response.request().url(), (t2 - t1) / 1e6d, response.headers()));

    return response;
  }
}
```

from fastapi import FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get("/items/{item_id}", response_model=Item, responses={404: {"model": Message}})
async def read_item(item_id: str):
    if item_id == "foo":